Triple

T26400628
Position Surface form Disambiguated ID Type / Status
Subject Kharagpur railway division E663685 entity
Predicate hasRailwayRoute P58937 FINISHED
Object Kharagpur–Nayagarh section
The Kharagpur–Nayagarh section is a railway line in eastern India that connects Kharagpur in West Bengal with Nayagarh in Odisha, serving as an important regional route for passenger and freight traffic.
E1733461 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kharagpur–Nayagarh section | Statement: [Kharagpur railway division, hasRailwayRoute, Kharagpur–Nayagarh section]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kharagpur–Nayagarh section
Triple: [Kharagpur railway division, hasRailwayRoute, Kharagpur–Nayagarh section]
Generated description
The Kharagpur–Nayagarh section is a railway line in eastern India that connects Kharagpur in West Bengal with Nayagarh in Odisha, serving as an important regional route for passenger and freight traffic.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610f38dc08190b2de9cc09f948fe7 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec01bd3081908585388a36299898 completed May 23, 2026, 6:03 p.m.
NEDg Description generation batch_6a11ecab0ab08190847f4751971939ec completed May 23, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_6a11ed32b3648190b32aa4fd2aae2643 completed May 23, 2026, 6:08 p.m.
Created at: April 26, 2026, 11:31 p.m.